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Channel

杭州基金会报告区

@hzjjh_report

On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

17,179subscribers

+4,633 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003616228092
TypeChannel
Username@hzjjh_report
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/hzjjh_report

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 50% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

12,54617,17914,862.56 August 2026 — 12,546 subscribers7 August 2026 — 12,616 subscribers8 August 2026 — 12,725 subscribers9 August 2026 — 12,762 subscribers11 August 2026 — 12,883 subscribers12 August 2026 — 12,990 subscribers13 August 2026 — 13,091 subscribers14 August 2026 — 13,246 subscribers16 August 2026 — 13,412 subscribers17 August 2026 — 13,591 subscribers18 August 2026 — 13,694 subscribers19 August 2026 — 13,855 subscribers20 August 2026 — 13,934 subscribers21 August 2026 — 14,061 subscribers22 August 2026 — 14,157 subscribers24 August 2026 — 14,343 subscribers25 August 2026 — 14,421 subscribers26 August 2026 — 14,525 subscribers27 August 2026 — 14,626 subscribers28 August 2026 — 14,789 subscribers29 August 2026 — 14,946 subscribers30 August 2026 — 15,165 subscribers31 August 2026 — 15,317 subscribers1 September 2026 — 15,402 subscribers2 September 2026 — 15,473 subscribers4 September 2026 — 15,634 subscribers7 September 2026 — 15,941 subscribers10 September 2026 — 16,365 subscribers12 September 2026 — 16,540 subscribers14 September 2026 — 16,673 subscribers15 September 2026 — 16,915 subscribers18 September 2026 — 17,179 subscribers6 August 202618 September 2026
32 measurements spanning 42 days, net +4,633. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 11,851–17,874 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 00:3717,179+264
15 Sept 2026, 21:1916,915+242
14 Sept 2026, 03:1916,673+133
12 Sept 2026, 11:4016,540+175
10 Sept 2026, 08:1816,365+424
7 Sept 2026, 06:1915,941+307
4 Sept 2026, 09:5715,634+161
2 Sept 2026, 19:0515,473+71
1 Sept 2026, 20:2715,402+85
31 Aug 2026, 22:2715,317+152
30 Aug 2026, 22:0415,165+219
29 Aug 2026, 18:3514,946+157
28 Aug 2026, 18:0914,789+163
27 Aug 2026, 15:3814,626+101
26 Aug 2026, 16:0314,525+104
25 Aug 2026, 14:2414,421+78
24 Aug 2026, 13:1714,343+186
22 Aug 2026, 20:1414,157+96
21 Aug 2026, 10:3614,061+127
20 Aug 2026, 11:5913,934first reading

Engagement

154 posts held, back to 1 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 50 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.66%
avg views ÷ 17,179 subscribers
Avg views / post
285
36 posts measured
Reaction rate
0.73%
reactions ÷ views · ER floor
Posts in window
36
of 154 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 2 of 36 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held154 (1 August 2026 – 3 September 2026)
Views total10,259
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:45 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

10 reactions across 10 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10100.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 13 of the 154 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 154 most recent posts we hold, published 1 August 2026 to 3 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

3 Sept 2026, 08:29 UTC55 viewsread 3 September 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-09-03 【老师花名】:妍研 【出击留名】:匿名 【开课位置】:上城 【修车水费】:1500一次 【人照评分】:10 【颜值评分】:9 【身材评分】:9 【服务评分】:10 【态度评分】:10 【环境评分】:8 【综合评分】:9.33 【过程描述】: 今天下午正好没事,就约了妍妍老师,老师在上城区,于是就开车前往。刚刚进门,就发现老师比照片要好看多了,一进门,老师就抱住你,我也算是抱上了老师,老师身材比较高挑,看上去身材很好,摸上去身材更好,该大的地方大,该小的地方小,该圆润的圆润,该柔软的柔软。妍妍老师的身材真的是太好了。然后赶快去洗澡,洗完澡后,老师耐心的给你擦干净,然后就进入正题。老师,课表里的内容特别多,而且全部都好好享受了一遍,不得不说,妍妍老师的服务是真的好,不愧是服务车,赛高!老师是热情…

2 Sept 2026, 03:11 UTC133 views1 reactionsread 2 September 2026

杭州基金会:https://t.me/Foundation_Of_HangZhou 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:9月1日 【老师花名】:#可乐 @lele86869 【出击留名】:你的宝宝 【开课位置】:西湖 【修车水费】:工兵 【人照评分】:8分 【颜值评分】:8分 【身材评分】:8.5分 【服务评分】:10分 【态度评分】:9分 【环境评分】:9分 【综合评分】:8.75分 【过程描述】: #环境卫生: 停车方便,房间整洁 有一次性浴巾,有漱口水或一次性牙刷 #老师优缺点: 开课准时,排课宽松,课时做完 服务到位,无少做、催课,过程无机车,做爱反馈真实 #硬件软件: 耐看型 有胸有屁股 #流程细节: 首先是陪浴,陪浴的话会胸推和臀推,非常的爽,表情也是非常的诱人。洗完澡也会有服务,按摩,胸推臀推,然后会问你喜欢什么,换上制服和丝袜,有喜欢的可以自己带过去。我…

❤1

1 Sept 2026, 14:46 UTC190 viewsread 3 September 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-09-01 【老师花名】:小十二 【出击留名】:Roland 【开课位置】:古荡 【修车水费】:竞拍半价p 【人照评分】:9 【颜值评分】:9 【身材评分】:8.5 【服务评分】:9.5 【态度评分】:9.5 【环境评分】:9 【综合评分】:9.08 【过程描述】: #环境卫生: 属于小区的一部分,但其实是公寓,停车方便,地铁也近; 隔段时间会换房间,收拾得干净整洁,有一次性浴巾和漱口水,还是自己准备了下面的洗液(这点好评) #老师优缺点: 有成为知名bbw的潜质,性格好,屌感好 -大蟒蛇,吻到天昏地暗,口活进步了,还增加了舔蛋蛋,吸皮很爽,还会舔杆杆; -女上超级猛,一个姿势桩累了,换个姿势继续桩; -爱爱反馈很好,粉嫩柔软敏感紧致水多,会叫爸爸,而且是激烈的时候突然叫一声,就不太会演戏感; #硬件软…

1 Sept 2026, 13:57 UTC186 viewsread 3 September 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 评分标准:9分﹣优秀 【出击时间】:9月1日 【老师花名】:#幼米酱 @cdnnhms888 【出击留名】:我家鸽鸽会唱跳 【开课位置】:余杭 【修车水费】:工兵 【人照评分】:8.7分 照片有p的成分 【颜值评分】:9分 素颜,依然蛮好看的 【身材评分】:9.2分 蜂腰巨乳,身材很棒 【服务评分】:8.5分 仍需大哥开发 【态度评分】:9分 态度不错 【环境评分】:9分 一梯两户,安全,家里整洁 【综合评分】:8.9分 【过程描述】: #环境卫生: 停车方便,可以停马路,不会有记录,也可停地下车库,房间整洁 有一次性浴巾 #老师优缺点: 一些原因楼下等了半小时 标准嫩妹三件套,无少做、催课,过程无机车,做爱反馈不错,会色色的叫爸爸 #硬件软件: 妹妹总体来说不错的,要是化了妆应该会更好看 皮肤滑嫩,白皮,胸型挺拔,乳…

1 Sept 2026, 08:14 UTC396 viewsread 3 September 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:8月29日 【老师花名】:#豆包 @xdb12390 【出击留名】:九十九 【开课位置】:拱墅 【修车水费】:工兵P 【人照评分】:9.5分 【颜值评分】:9分 【身材评分】:9.5分 【服务评分】:10分 【态度评分】:10分 【环境评分】:9分 【综合评分】:9.5分 【过程描述】: #环境卫生: 地铁出来800米,房间整洁 有一次性浴巾 #老师优缺点: 开课准时,排课宽松,课时做完 服务到位,无少做、催课,过程无机车,做爱反馈真实 #硬件软件: 人照基本一致,颜值高,身材好、气质挺好、穿搭也很不错 身高160+,腿长正常,纹身没注意,皮肤手感不错 #流程细节: 进门老师就很热情,牵着我的手来到沙发,主动拿拖鞋,主动交了水费。 …

31 Aug 2026, 12:42 UTC192 viewsread 3 September 2026

杭州基金会:https://t.me/Foundation_Of_HangZhou 评分标准:良好 9分 【出击时间】:8月31日 【老师花名】:#奇不琦 @Raneja9 【出击留名】:香蕉 【开课位置】:璞玉公馆 【修车水费】:工兵 【人照评分】:9分 【颜值评分】:9分 【身材评分】:8分 【服务评分】:8分 【态度评分】:9分 【环境评分】:7分 【综合评分】:8分 【过程描述】: #环境卫生: 商圈公寓 有一次性浴巾,有漱口水 #老师优缺点: 开课不准时,排课宽松,课时做完 无少做、催课,过程有无机车,做爱反馈是真实 #硬件软件: 真人不错,感觉很可爱,🐻不大 #流程细节: 报名工兵,约老师时间,老师回消息很慢。兜兜转转约了晚上7点,我出发,说6点40到老师说好的。结果老师7点10分才发消息给我。是个商圈公寓,不好找。 到了发现老师不错,交了水费洗澡。老师🐻有点小。但嘴唇还是挺嫩的。到了床上。我先服务老师,蛇…

31 Aug 2026, 08:18 UTC162 viewsread 3 September 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:8月31日 【老师花名】:#可乐 @lele86869 【出击留名】:秒软 【开课位置】:西湖区 【修车水费】:工兵P 【人照评分】:8.8分 【颜值评分】:9分 【身材评分】:9.3分 【服务评分】:10分 【态度评分】:10分 【环境评分】:10分 【综合评分】:9.5分 【过程描述】: #环境卫生: 停车方便,房间整洁 有一次性浴巾,有漱口水或一次性牙刷 #老师优缺点: 开课准时,排课宽松,课时做完 服务到位,无少做、无催课,过程有机车,做爱反馈真实 #硬件软件: 人照相似程度很高,有点美白,颜值偏上、气质非常棒 身高162,无纹身,黄白皮 #流程细节: 群里抢到工兵,跟老师约好,马上驱车前往,停车方便,老师非常痛快告诉具体地址位置,…

31 Aug 2026, 08:16 UTC129 viewsread 3 September 2026

杭州基金会:https://t.me/Foundation_Of_HangZhou 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:8 月 31 日 【老师花名】:#小樱桃 @mumu6600 【出击留名】:钓鱼很难 【开课位置】:#拱墅 【修车水费】:工兵P 【人照评分】:9分 【颜值评分】:9分 【身材评分】:9.5分 【服务评分】:9 分 【态度评分】:9分 【环境评分】:8.5分 【综合评分】:9分 【过程描述】: #环境卫生: 酒店公寓类似 保安刷卡上楼 上下层其中一层 #老师优缺点: 嫩妹态度不错 口技不咋地 喜欢唠嗑 挺有趣的 #硬件软件: 身材可以的。瘦而不柴 不是干瘦 这种就是很舒服的。化妆技术一般有点卡粉 #流程细节:前一天约好妹妹。直接第二天出发。但是妹妹没回消息心中忐忑。结果快到时间还没消息。看其他狼友报告以为梯子又出问题。结果快到几分钟回复了,睡过头昨天熬…

31 Aug 2026, 00:53 UTC139 viewsread 3 September 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 【出击时间】:2026-08-31 【老师花名】:晚梦 【出击留名】:杰瑞iii 【开课位置】:上城 【修车水费】:竞拍半价400p 【人照评分】:9 【颜值评分】:9 【身材评分】:9 【服务评分】:10 【态度评分】:10 【环境评分】:9 【综合评分】:9.33 【过程描述】: 老师很热情,一进门就招呼我坐下休息一下,还贴心的给我递来一瓶水,全程聊天很健谈 #环境卫生:不错,有打扫过,很整洁 停车方便,房间整洁 有一次性浴巾,有漱口水或一次性牙刷 #老师优缺点:很嫩,皮肤软软滑滑的,胸很挺,手感棒,女上体验很好,小穴很紧,包裹感强 开课准时,排课宽松,课时做完 服务到位,无少做、无催课,过程无机车,做爱反馈真实 #硬件软件: 人照相似程度基本相似,颜值很高、气质佳、穿搭 嫩妹风格身高160腿长还行,纹身无纹身,皮肤手感…

30 Aug 2026, 16:08 UTC161 viewsread 3 September 2026

杭州基金会:https://telegram.me/Foundation_Of_HangZhou 评分标准: 8分﹣良好 【出击时间】:8月30日 【老师花名】:#小樱桃 @mumu6600 【出击留名】:Edison 【开课位置】:拱墅 【修车水费】:工兵P 【人照评分】:8分 【颜值评分】:8分 【身材评分】:9分 【服务评分】:7分 【态度评分】:8分 【环境评分】:8分 【综合评分】:8分 【过程描述】: #环境卫生: 停车方便,房间整洁 有一次性浴巾,有漱口水或一次性牙刷 #老师优缺点: 开课准时,排课宽松,课时做完 服务一般,无少做、催课,过程无机车,做爱反馈真实 #硬件软件: 人照相似程度8分,颜值不错,右臂一处纹身,皮肤嫩滑,黄皮偏白 #流程细节: 拿下工兵资料就立马约了老师,约好时间,驱车前往,地方很好找,但上楼很不方便,还要保安刷卡,老师的梯子又不稳,墨迹了半天才来到课室,心态搞得有点崩。 …

30 Aug 2026, 15:20 UTC141 viewsread 3 September 2026

评分标准:9分﹣优秀 【出击时间】:8月29日 【老师花名】:#沫沫 @srmomo 【出击留名】:野原新之助 【开课位置】:拱墅区 【修车水费】:工兵pp 【人照评分】:9分 【颜值评分】:8.5分 【身材评分】:8.5分 【服务评分】:9.5分 【态度评分】:10分 【环境评分】:10分 【综合评分】:9分 【过程描述】: #环境卫生: 科室宽敞整洁,有一次性浴巾、漱口水,卫生达标 #老师优缺点: 优点:约课准时,排课会预留10分钟时间;大蟒蛇,十分主动;做爱体验极佳,会主动收缩。 缺点:结合价位,没有什么缺点 #硬件软件: 人照基本一致,有美颜、颜值8.5分达标,属于邻家少妇类型,身材娇小,但整体比例不错,无多余赘肉,锁骨处有一小处纹身,服务意识很好,全程热情询问,服务虽然只有简单A面添胸、口,但结合声音和眼神交流诱惑力十足。 #流程细节:和沫沫沟通约课,想约的时间已排,便预约最近的空闲时间,老师会在上一课结束时…

30 Aug 2026, 15:14 UTC113 viewsread 3 September 2026

杭州基金会:https://t.me/Foundation_Of_HangZhou 评分标准:6分﹣差 7分﹣及格 8分﹣良好 9分﹣优秀 10分﹣极品 【出击时间】:8月30日 【老师花名】: #夏萌 @xiamengx1 【出击留名】:小牛 【开课位置】:萧山 【修车水费】:工兵 【人照评分】:9分 【颜值评分】:8分 【身材评分】:8分 【服务评分】:9分 【态度评分】:10分 【环境评分】:9分 【综合评分】:9分 【过程描述】: #环境卫生:萧山回迁房小区,安全干净。开课的东西备的挺全。 #老师优缺点:比较能聊天,挺会找话题。 #硬件软件:人照一致,和视频里一样。165cm,100斤不到。胸挺大的。户型蝴蝶逼。毛量正常 #流程细节: 拿下老师工兵,约了第二天下午的课。小小的罚站了5分钟。老师说被上一个桩满钟了。 看到老师人照一致,穿着豹纹衣服,挺漂亮的。交了水费,聊聊天,老师属于是那种性格大大咧咧的,挺会聊,挺…

Showing the 12 most recent of 154 posts we hold for @hzjjh_report. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@hzjjh_report edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
28 August 2026
Most recent edit
30 August 2026

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 September 2026 — this entry's latest reading, not the date you are reading this.

“杭州基金会报告区” (@hzjjh_report), 17,179 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/hzjjh_report.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.